Vega

Description Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations by improving detection, unlocking the value of security data, and reducing cost and complexity. With HQs in New York and TLV, we are looking for people who want to help shape the future of security operations. ABOUT THE ROLE We’re looking for a Technical Support Lead to own how Vega supports its customers. Our customers are security teams at large organizations who rely on Vega to run their SOC. For them, good support means fast, knowledgeable answers from people who understand both the product and their environment. It also plays a big part in whether they renew and grow with us. We think support in 2026 should look different. AI agents now handle much of the investigation, triage, and first response, and people focus on judgment, complex problems, and customer relationships. Our support is already built this way, as a mix of AI agents and people, and you’ll help shape how it keeps evolving. In this role you’ll be the main escalation point for customer issues and own our response from the first message to resolution. You’ll support customers at every stage, from technical questions during evaluations and POCs to issues in production. You’ll work closely with R&D, Pre-Sales, and Post-Sales to resolve issues, keep customers informed, and feed what we learn back into the product. WHAT YOU WILL DO • Own Vega’s support response, with a focus on quality and depth as well as speed. • Own support metrics and make decisions based on data. Define what we measure, know where customers get stuck and where we’re slow, spot trends early, and use the data to drive changes in product, process, and priorities. • Act as the escalation point for critical customer issues: coordinate across teams, keep everyone updated, and follow through to resolution. • Work AI-first. Use AI agents and tools as part of everyday work for investigation, triage, documentation, and customer communication, and keep looking for ways to do more with them. • Help shape how our AI agents and people work together: decide what agents should handle, where a person adds the most value, and how to keep the quality of both high. • Support both Pre-Sales (POCs and evaluations) and Post-Sales (production customers), working alongside SEs, TAMs, and Cyber Defense Services. • Work with R&D to find root causes and prioritize fixes based on customer and business impact. • Build and refine support processes such as escalation paths, SLAs, and customer communication, with AI built in from the start. • Requirements WHAT YOU WILL BRING • 4+ years in technical support, support engineering, or a customer-facing technical role, ideally working with enterprise customers. • Experience handling customer escalations, with clear communication and a strong sense of ownership. • Solid technical background in cloud environments (AWS, Azure, and/or GCP), data pipelines, and integrations. • A data-driven approach, with experience defining support metrics and using them to drive improvements. • An AI-native way of working: you already use the latest AI models and tools every day and have strong opinions on where they help and where they don’t. • An understanding of how support affects the business, including customer trust, renewals, and deals. • Curious, collaborative, and comfortable working with engineers, customers, and executives alike. • Experience in a startup or fast-growing company is a plus. NICE TO HAVE • Background in a SOC, Security Engineering, Incident Response, or Threat Hunting role. • Hands-on experience with SIEM or observability platforms (Splunk, Elastic/ELK, Microsoft Sentinel, or equivalent). • Experience supporting SIEM deployments at enterprise scale. • Experience supporting Pre-Sales teams during POCs and technical evaluations. • Experience working with AI agents in a support or operations setting. • Familiarity with KQL (Kusto Query Language).

Description Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations - improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber. As an AI Researcher, you’ll be part of the team building the AI systems that power our products. You’ll work across research and engineering - from training and post-training state-of-the-art LLMs to applying them to challenging real-world problems such as agentic behavior, coding, and security-related decision-making. This is a hands-on research role with a strong focus on taking ideas from experimentation to production. You’ll have significant ownership and the opportunity to shape both the direction of our AI research and the systems we build around it. WHAT YOU WILL DO • Train, adapt, and scale state-of-the-art LLMs using techniques such as post-training SFT, knowledge distillation, LoRA, and reinforcement learning. • Develop and evaluate new algorithms and approaches, bridging cutting-edge academic research with production-grade AI systems. • Optimize models for production, balancing quality, latency, throughput, and cost at scale. • Own the AI lifecycle—from algorithmic prototyping and synthetic data generation to evaluation, deployment, and iteration of production AI features. • Work closely with engineering and product teams to translate research advances into impactful AI capabilities. • Lead research initiatives that advance the capabilities of Vega’s AI systems. Requirements WHAT YOU WILL BRING • 5+ years of professional experience as a research scientist, applied scientist, or algorithms/ML engineer. • Ph.D. or Master’s degree in computer science, machine learning, data science, statistics, or a related field. • Expert-level proficiency in PyTorch and deep learning training and inference optimization. • Hands-on experience training, fine-tuning, evaluating, or optimizing large-scale LLMs in research or production environments. • Strong Python programming skills and experience writing production-grade ML code. • Experience working with large-scale data and ML infrastructure. NICE TO HAVE • Experience applying AI/ML to cybersecurity, including threat detection, incident response, log analysis, or related problems. • Experience with reinforcement learning or preference optimization for LLMs. • A track record of research publications, open-source contributions, or other technical work demonstrating research depth.

Description Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams - already delivering real impact at some of the world's largest organizations by improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber. The Role You'll build Vega's financial planning and analysis function from scratch - no existing model, process, or team to inherit. You get to lay the foundation, run it yourself for the first year, and then build the team around it. The most important part of this job, by far, is partnering with our go-to-market org. You'll sit shoulder-to-shoulder with Sales and Marketing leadership, turning pipeline into forecasts and financial insight into real commercial decisions. If you'd rather build models quietly in a corner, this probably isn't your role - we need someone who wants to be in the room. What You'll Do Business partnering with go-to-market (the heart of the job) • Be the finance partner Sales and Marketing leadership actually turns to - pipeline coverage, quota planning, headcount, spend • Own the revenue forecast, and keep it tightly connected to what's happening on the ground in go-to-market • Dig into unit economics: CAC, LTV, payback, margin by segment • Lead the financial thinking behind pricing and packaging decisions Planning and models • Build and own the company's operating model - revenue, headcount, and expenses across every department • Build and maintain the model we use for fundraising, and support diligence with investors • Run the annual budget and rolling forecasts, and keep a clear eye on runway and scenario planning Reporting and leadership • Build board materials - not just the slides, but the story behind them • Set up monthly reporting rhythms, variance analysis, and department budget reviews • After about a year, hire and lead your own FP&A team Requirements What You Bring • 8+ years in FP&A, strategic finance, or investment banking followed by an operating role • Startup experience: you've built FP&A foundations at an early or growth-stage company • Real fluency in SaaS metrics and unit economics • A track record of true partnership with go-to-market teams - this is what will set you apart from other candidates • Experience building fundraising models and board materials that leadership genuinely relied on • Expert-level modeling chops, and you're just as comfortable rolling up your sleeves solo as you are eventually leading a team • A communicator who can turn a spreadsheet into a decision, not just a report

Description Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world's largest organizations - improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber. We're looking for a Security Researcher to join our team at the intersection of security research, AI, and product. This isn't a traditional research role - you'll be deeply embedded in how the platform is built, working side by side with R&D, Product, and AI teams to make sure security expertise is baked into every layer of what we ship. You'll own detection and analytics research across cloud, identity, endpoint, and beyond, while actively shaping how AI capabilities are applied to solve real security problems at scale. WHAT YOU WILL DO • Research and develop sophisticated detections and behavioral analytics across multiple security landscapes - cloud, identity, endpoint, network, and application - with a focus on coverage that scales across customer environments. • Work closely with R&D, Product, and AI teams as the security authority - reviewing features, shaping designs, and ensuring security logic is sound, practical, and impactful. • Apply an AI-native approach to detection and analytics challenges - leveraging LLMs, ML signals, and AI-assisted workflows to do things that rule-based approaches can't. • Identify gaps in detection coverage and analytical capabilities, and drive those findings directly into the product roadmap. • Analyze real-world attacker techniques and translate them into detection logic, hunting content, and analytical frameworks that ship as part of the platform. • Evaluate detection quality rigorously - measuring fidelity, coverage, and performance against real attacker behavior and production telemetry. • Stay sharp on the evolving threat landscape and rapidly incorporate new techniques, campaigns, and attacker tooling into our detection library. • Contribute to external research output - blog posts, talks, open-source tooling - that reflects our depth and point of view in the security community. Requirements WHAT YOU WILL BRING • 6+ years of hands-on experience in detection engineering, security research or incident response - working with real production data at scale. • Deep knowledge of attacker techniques and behavior across at least 2 from: cloud, identity, endpoint, and network environments, with the ability to translate that directly into high-fidelity detection logic. • An AI-native mindset - you've built or applied AI-powered tooling in a security context (detection pipelines, alert investigation, hunting workflows) and you default to AI-powered approaches before reaching for manual ones. • Experience working within or alongside a product or engineering team - you understand how software gets built, and you know how to make your security expertise actionable for R&D and Product. • Strong coding skills (Python or similar), used for research, data analysis, detection development, and tooling. • A product-oriented approach to research - you think about scale, usability, and customer impact, not just technical correctness. • Self-directed and a strong self-learner - you don't wait to be pointed at problems, and you move fast when you find them. • Strong written and verbal communication skills in English, with the ability to explain complex security concepts clearly to both technical and non-technical audiences.

Description Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations by improving detection, unlocking the value of security data, and reducing cost and complexity. With HQs in New York and TLV, we are looking for people who want to help shape the future of security operations. ABOUT THE CTO OFFICE The CTO Office is Vega's elite task force. When something is broken, complex, or critical - this is the team that gets the call. We don't wait for a clean handoff or a scoped ticket. We go in, figure it out, and make everything work. No notice, no excuses. Our mandate spans the full width of the company: named technical representative on the deals that matter most, builders of the infrastructure that makes Vega deployable at Fortune 50 scale, and owners of the feedback loop that keeps R&D building the right things. We move things inside the organization and outside of it - across product, engineering, customers, and leadership - and at the end of the day, we're the team that closes the loop end to end. If that sounds like the kind of team you want to be part of - read on. WHAT YOU WILL DO • Be the expert and escalation point for the most strategic accounts. You're the named CTO Office representative on the deals you're assigned - accountable for whether the deployment succeeds and whether product hears what needs to be heard. • Take on the hardest problems, without notice. When something is blocking a deal or a customer, you don't escalate it. You own it. • Influence the product roadmap. You carry field signal directly into R&D. You're expected to have strong opinions about what should move and why. • Build what doesn't exist yet. If Vega needs it and it isn't there, you build it. • Produce technical content. Whitepapers, blogs, and writeups. You help define how the world experiences and understands what we're building. • Travel. Tel Aviv is home base. US customers and industry events are a regular stop. WHO YOU ARE • We're not looking for someone who fits neatly into a box. We're looking for someone who finds neat boxes a little underwhelming. • You're a builder, not just an advisor - analysis without artifacts isn't enough. • You close loops. You ship things - You leave systems better than you found them. • You're customer-obsessed - you understand that what happens in enterprise POVs isn't a distraction from the real work. It is the real work. You run toward hard customer problems rather than away from them. • You're opinionated and direct - you push back when something is wrong, change your mind when shown better evidence, and write and speak clearly without filler. • You move without waiting to be told - when something is broken or missing, you identify it, own it, and fix it. You don't need a clean scope to start. You operate well under ambiguity and produce clarity for everyone around you. • You have a hacker mentality - you find the path through, you're comfortable in ambiguous and underdocumented systems, and you debug by instinct as much as by method. • You're technically deep and contextually wide - you can go deep on a data pipeline, a detection rule, a query engine, or a cloud architecture, then explain any of it to an executive the same afternoon. Requirements WHAT YOU WILL BRING • 8+ years of hands-on technical experience in security research, systems engineering, or a combination. Academic credentials matter less than what you've actually built and broken. • Strong security domain knowledge - threat detection, SecOps workflows, SIEM architecture, detection engineering, or offensive security research. You know this space from the inside. • Fluency in cloud environments (AWS, GCP, or Azure). You understand how data flows through cloud-native architectures and have operated in them. • Comfortable writing and shipping code - scripts, pipelines, tooling. You don't need to be a software engineer by title, but you build things that work. Fluent with LLMs and AI-assisted development tools (Claude Code or equivalent). You use them as a force multiplier, not a novelty. • Experience with enterprise technical engagements - POVs, architecture reviews, or field engineering. You're not learning how to handle a skeptical CISO on the job. Strong written and verbal English. You produce external-quality technical content and you're credible in front of a US enterprise audience. NICE TO HAVE • Background in Unit 8200 or comparable military cyber / intelligence work • Experience with SIEM platforms at an administrative or engineering depth (Splunk, CrowdStrike Next-Gen SIEM, Microsoft Sentinel, QRadar) • Familiarity with data engineering patterns - S3, Lambda, streaming pipelines, log normalization Published research, blogs, or notable open-source contributions • Prior experience in a CTO Office, field CTO, or technical strategy function at a security company. WHY VEGA • Series B company ($185M raised) with serious enterprise traction and real runway to build • A platform that's genuinely novel - not an incremental improvement on existing SIEMs • A role with full scope: customers, product, engineering, and research all in one charter • A team that moves fast, owns things completely, and doesn't wait for permission • Tel Aviv headquarters, global customer base, frequent US travel

Description Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations by improving detection, unlocking the value of security data, and reducing cost and complexity. With HQs in New York and TLV, we are looking for people who want to help shape the future of security operations. We are looking for a Team Lead, Product Management to lead a group of Product Managers responsible for core areas of the Vega platform. In this role, you will combine strong product leadership with hands-on execution, owning strategy and delivery while coaching and developing PMs on your team. You will work closely with engineering, design, and leadership to ensure the team is building the right things, in the right way, for our customers. WHAT YOU WILL DO • Lead and manage a team of Product Managers, providing coaching, feedback, and development • Own product strategy and roadmap across multiple related product areas within Vega • Ensure clear problem definition, prioritization, and execution across your team’s scope • Partner closely with engineering and design leads to align product direction, technical decisions, and delivery plans • Act as a senior product voice with internal stakeholders, customers, and executive leadership • Engage directly with customers to understand enterprise SOC workflows and security challenges • Translate company-level goals into clear objectives and priorities for your product team • Identify opportunities where AI-native approaches can meaningfully improve security operations and analyst workflows • Drive competitive analysis and market insight to inform product decisions and positioning • Support go-to-market efforts with clear product narratives and alignment across sales, marketing, and customer teams • Raise the bar for product quality, customer focus, and execution discipline across the team Requirements WHAT YOU WILL BRING • 5+ years of experience in Product Management for B2B Enterprise SaaS, preferably in high-growth startups • 2+ years of experience leading or mentoring Product Managers, or acting as a de facto team lead • 4+ years of experience in cybersecurity, security analytics, or security operations • Strong ability to balance people leadership with hands-on product ownership • Proven experience defining and delivering products in complex, technical domains • Experience working directly with large enterprise customers and security leadership • Track record of leading cross-functional initiatives involving engineering, design, and go-to-market teams • Excellent communication skills with the ability to influence across levels and functions • Strategic mindset combined with strong execution instincts • Strong written and verbal English communication skills

Description Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations - improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber. We're looking for a Software Engineer to join our R&D team. In this role, you'll design and build scalable, high-performance systems that bring together rich backend capabilities and intuitive frontend experiences. You'll be part of a mission-driven team, building innovative technologies that enable security teams to detect, analyze, and respond to threats faster than ever before.   WHAT YOU WILL DO • Develop and own end-to-end features across the entire stack, from backend services to frontend interfaces. • Design and implement distributed backend systems that handle massive volumes of security data in real-time. • Build modern, responsive, and accessible user interfaces using React, TypeScript, Remix, Tailwind, and Shadcn. • Architect and maintain robust APIs and data contracts between the frontend and backend. • Collaborate with product, design, and security experts to deliver impactful user facing features. • Ensure high code quality by writing comprehensive unit, integration, and E2E tests using tools like Vitest, Playwright, and React Testing Library, as well as backend testing tools • Optimize system performance, reliability, and scalability on both ends of the stack. • Take part in critical architectural discussions and influence the technical direction of the platform. Requirements WHAT YOU WILL BRING • 7+ years of professional software engineering experience, with significant hands-on experience in both backend and frontend development. • Deep knowledge of Go or Python for backend services, and React with TypeScript for frontend applications. • Experience designing and working with distributed systems and microservices architecture. • Proven experience with backend testing frameworks such as Pytest or unittest for Python, and Go’s testing package along with tools like testify or gomega. • Strong understanding of web fundamentals, API design, system scalability, and data processing. • Experience with performance monitoring and visualization tools like Grafana or Datadog. • A product-driven mindset with an eye for good UX and intuitive design. • Proven experience with testing practices across the stack. • Experience with CI/CD pipelines, Docker, and cloud-native infrastructure. • Strong sense of ownership, collaboration, and accountability. • Excellent communication skills and ability to work cross-functionally.

Description Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations - improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber. We’re looking for a talented Data Engineer to join our AI team and build the data foundations that power our AI systems at scale. As a key member of the AI team, you’ll be responsible for designing, building, and operating the data layer that enables our AI models and agents to perform in production. This includes data ingestion, storage, transformation, monitoring, and defining the data strategy that ensures our AI applications receive high-quality, reliable, and timely data. We’re seeking an ambitious Data Engineer who is passionate about building robust data infrastructure, working with large-scale and complex datasets, and partnering closely with AI engineers and researchers to translate model needs into production-grade data systems. WHAT YOU WILL DO • Design, build, and operate scalable data pipelines (batch + streaming) that power Vega’s AI systems in production. • Own the end-to-end data lifecycle: ingestion, storage, transformation, serving, and continuous improvement. • Build and maintain the data layer from raw data to semantically accessible data that enables AI models and agents to perform reliably at scale. • Ensure high data quality and high-standard operation through monitoring, alerting, and validation checks. • Work with modern storage systems (data lakes, warehouses, relational, graph, and vector databases) to support diverse AI workloads. • Partner closely with AI engineers and researchers to translate model requirements into production-grade data infrastructure. • Define and evolve the data strategy to for AI applications. Requirements WHAT YOU WILL BRING • 4+ years of professional experience in data engineering or ML infrastructure roles. • Strong experience designing and building data pipelines (batch and streaming) for large-scale production systems. • Hands-on experience with data storage systems such as data lakes, data warehouses, relational databases and graph databases. • Proven ability to build reliable, observable, and scalable data infrastructure, including monitoring, alerting, and data quality checks. • Demonstrated ownership across the full data lifecycle from ingestion and modeling, to serving, monitoring, and continuous improvement. • Ability to work independently, managing priorities effectively in a fast-paced, product-driven environment, according to a dynamic data strategy. • Experience with modern data and infrastructure technologies such as DuckDB, dbt, Temporal, Trino, Spark, PostgreSQL, PGVector Neo4j, Datadog, Python, Go, Docker, and Kubernetes. • Experience working with ML models and framework as part of data pipelines (e.g. text embedding models, vector databases, semantic search algorithms) NICE TO HAVE • Experience building data infrastructure to support ML/AI systems, including feature extraction pipelines for downstream ML models and inference-time data access. • Background in working with high-volume or complex data sources such as logs, events, telemetry, or security data. • Familiarity with modern cloud platforms, preferably AWS, and cloud-native data tools. • Experience collaborating closely with ML/AI engineers to translate model and research requirements into scalable data solutions.

Description Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations - improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber. We're looking for a Data Scientist to join our team. As a Data Scientist at Vega, you’ll be a key member of our AI team, designing, building, and deploying cutting-edge AI systems that leverage large language models (LLMs), unstructured data, and advanced ML techniques. You’ll be instrumental in bringing AI from research to real-world production, delivering high-impact features that drive our security platform. In this role, you'll have a unique opportunity to solve complex problems, work with large scale data and be part of the core team that shapes the future of AI in the company. WHAT YOU WILL DO • Design and develop end-to-end AI solutions, from data ingestion and modeling to deployment and observability. • Build and fine-tune LLM-based applications to tackle complex cybersecurity challenges. • Own the full ML lifecycle — from ideation and experimentation to production readiness. • Collaborate with product, engineering, and security teams to turn AI research into user-facing features. • Work with large-scale unstructured data (e.g., logs, threat intel, alerts) to extract meaningful insights. • Evaluate and optimize AI system performance, scalability, and reliability. • Contribute to core architectural decisions related to AI and ML infrastructure. Requirements WHAT YOU WILL BRING • 4+ years of professional experience in ML/AI engineering. • Hands-on experience working with LLMs and building AI agents in production environments. • Strong understanding of text classification, ranking, and evaluation in NLP systems. • Proficiency in Python and modern ML frameworks. • Deep knowledge of deploying and maintaining AI systems at scale. • Experience with cloud platforms, particularly AWS. • Experience working independently in fast-paced, mission-driven environments • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field NICE TO HAVE • Experience fine-tuning LLMs for domain-specific or task-specific use cases. • Background in cybersecurity applications (e.g., threat detection, incident response, log analysis). • Familiarity with agent-based architectures and autonomous systems.

Description Vega is one of the fastest-growing startups in cybersecurity, redefining security analytics and operations with an AI-native platform for the SOC. We are building the next-generation operating system for security teams. Vega is already delivering real impact at some of the world’s largest organizations - improving detection, unlocking the value of their security data, and reducing cost and complexity. With HQs in New York and TLV, we're looking for people who want to be a part of the next rocket-ship in cyber. We are looking for a Software Engineer to join our Core Team. This team owns and evolves our core query and indexing infrastructure, working directly on our query engine, query optimizations, indexing engines and pipeline. You’ll solve deep technical problems and help shape the architecture of high-performance, complex systems. WHAT YOU WILL DO • Design, develop, and maintain connectors to Databases and SIEMs. • Add new indexing capabilities to our indexing pipeline. • Own technical decisions end-to-end from design to production rollout. • Collaborate closely with product, infra, and data teams to align on technical direction and integration. Requirements WHAT YOU WILL BRING • 5+ years of software engineering experience with strong backend/data systems background • Proficiency in one of this languages: Rust, Java, C/C++ • Familiarity with low-level systems concepts like memory management, file formats, thread models, and performance profiling • Proven track record of learning unfamiliar systems and technologies quickly • Strong sense of accountability and ownership, independent and able to multi-task. NICE TO HAVE • Experience with distributed systems / data pipelines • Deep understanding of compiler, query engines/planners or database internals • Prior work on indexing and searching features